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Student Research Work
The list below gives an overview of only some of the currently open theses. Feel free to visit us at the Robotics Research Lab to get more information.
Currently Open Theses
|Intelligent Property Representation in Rough Environments||Bachelor/Master||An autonomous vehicle has to consider a lot of information sources, as sensor outputs, to fulfill its navigation task. This is especially true for unstructured off-road environments where conditions change permanently. Perception systems provide data about the current state of the vehicle as tire slippage, or inertial measurements. Also external data is used, which can be measured by distance sensors or cameras. There are sophisticated algorithms available which compute image segmentations, ground properties, classify obstacles and many more. A framework should be developed based on the behavior-based ib2c architecture. It should combine and evaluate different strings of information into a common representation. Based on this, the robot control should perform smart navigation decisions in unstructured environments. The approach should be tested and the system's behavior evaluated.||Patrick Wolf (born Vatter)|
|Landmark Detection for Topological Map Construction||Bachelor/Master||Topological maps can be used for high level path planning through complex environments. Nodes in those maps represent landmarks which can be detected and re-recognized easily. Nodes can by also used in hybrid maps where grid maps provide details about the local area which corresponds to a respective node. Other applications are SLAM corrections that can make use of the landmark position. Your task is the selection of a suitable landmark representation and the implementation of such a detector. Based on the derived landmarks a topological map should be created online. The approach should be tested in a simulated and real-world environment.||Patrick Wolf (born Vatter)|
|Virtual Fences for Autonomous Off-Road Vehicles||Bachelor/Master||Autonomous mobile robots are a recent and highly discussed topic. One of our research interests is the development of autonomous system solutions for commercial vehicles. Such vehicles often operate on construction sites or in search and rescue scenarios. An essential task is the navigation trough rough environments. Hereby, existing mapping information is considered and taken into account for path planning. Nonetheless, a robot is often not allowed to enter specific areas in the environment to prevent endangerment workers or goods. The task of this thesis is the development of a virtual fence for mobile robots. The system should use aerial maps where the working area can be defined. The robots navigation should detect blocked or forbidden pathways, adapt the global trajectory and prevent the robot from entering the restricted areas.||Patrick Wolf (born Vatter)|
Recent student works one can find here.
Templates for student theses can be found here.
The thesises, which were finished at the RRLAB can be found at their own subpages.